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Radiogenomics in Meningioma: Associations Between Chromosome Copy Number Variation and Radiographic Features

T Coroller

T Coroller*, W Bi , N Greenwald , E Huynh , R Zeleznik , C Parmar , M Abedalthagafi , A Aizer , W Wu , S Gupta , P Wen , O Al-Mefty , S Santagata , I Dunn , R Beroukhim , B Alexander , R Huang , H Aerts , Dana Farber Cancer Institute, Brigham and Women's Hospital, Harvard Medical School, Boston, MA


TH-AB-201-2 (Thursday, August 3, 2017) 7:30 AM - 9:30 AM Room: 201

Purpose: Chromosome alteration burden has been linked to tumor malignancy among meningiomas, where increasing chromosomal disruption is associated with an increased risk of recurrence. In this study, we investigated the ability of radiographic features to distinguish chromosome burden within meningioma subgroups (low and high grade). Capturing such genetic burden non-invasively could help improve our understanding of tumor mechanisms and enable precision medicine.

Methods: 158 meningioma patients (87 low and 71 high grade) with pre-operative contrast-enhanced T1 MRI were included in this study. To assess tumor phenotype, 121 radiomic (quantitative) and ten semantic (qualitative) features were extracted from MR images. Copy number variation (CNV) was measured using array comparative genomic hybridization (aCGH). Copy number disruption (CND) was defined as |CNV|>0.2, and CND-22 specifically for chromosome 22. Area under the curve (AUC), odds ratio (OR) and Spearman’s correlation coefficient (COR) were computed. All p-values were corrected for multiple testing hypothesis using the false discover rate.

Results: CND was significantly greater in high grade meningiomas (p<10-16, Wilcoxon test) with a median value of 7(range: 1-23) compared to 0(range: 0-4) for low grade. Radiographic features were significantly (p<0.05) associated with CND-22 in low grade (spherical disproportion-AUC 0.67, kurtosis-AUC 0.68, paravenous-OR 4.1) and CND in high grade (inverse variance-COR -0.24, gray-level variance-COR 0.35, paravenous-AUC 0.68, sinus invasion-AUC 0.70, cystic component-AUC 0.79,). Investigating CNV, we found a strong association between radiographic features and chromosome variation. On average per chromosome, we found that 23.1%(10) of semantic and 7.7%(121) of radiomic features were significantly associated with CNV.

Conclusion: In this radiogenomics analysis, we investigated the relationship between genotype and phenotype in meningioma patients and found strong associations between CND-22 and radiographic features, which could indicate potential aggressiveness in low grade tumors. We also found that radiographic features could stratify high grade tumors based on their CNV burden.

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